PhD Thesis - Energy Systems Research Unit - University of Strathclyde

Table 2.10 - Annual electrical energy consumption for the households investigatedHousehold codeAnnual electricalconsumption (kWh)Annual electrical consumption perperson (kWh/person)1A 1,370 1,3701B 2,079 2,0792A 1,149 5752B 3,359 1,6803A 4,075 1,3583B 2,219 7404A 2,827 7074B 3,175 794The annual consumption of six out of eight households (75%) was between 2,000and 5,000 kWh per annum - a similar result to that obtained by another researchcampaign conducted in Italy, the MICENE project [52]. The MICENE projectreported that the electrical consumption of 80% of the households analysed during asimilar research had an annual electrical energy consumption of a similar magnitude.2.4.3.3 Aggregated loads frequency distributionOne final method used to verify the profiles created was to compare the statisticalfrequency distribution of the 1-minute temporal electrical load of the aggregated 8households created using the transformation process, with statistical frequencydistributions known to be followed by aggregated household load profiles.Individual domestic load profiles such as that shown in Figure 2.9 for household 4A(for a characteristics day in February), created using Stage 2 of the transformationprocess, do not follow any particular frequency distribution [24].Low voltage aggregated load profiles such as that shown in Figure 2.10 for all 8households for the same day in February however follow skewed statisticaldistributions such as Weibull or Beta distributions [53, 54]. Figure 2.11 shows the fitobtained when the 3 Probability Density Functions (PDF), namely Beta, Weibull andGamma, suggested in literature [53, 54] are superimposed on the demand frequencyhistogram created using the aggregated 1-minute resolution electrical demand of all 8households shown in Figure 2.10. The level of significance calculated using the58